class_docstr: Tests for the tanh normal distribution.
docstr: Verify the correctnes of the tanh_normal log likelihood function.
docstr_tok: ["Verify","the","correctnes","of","the","tanh_normal","log","likelihood","function","."]
code: def test_tanh_normal_log_prob(self):
      """Verify the correctnes of the tanh_normal log likelihood function."""
      mean = torch.zeros(1)
      std = torch.ones(1)
      dist = TanhNormal(mean, std)
      pre_tanh_action = torch.Tensor([[2.0960]])
      action = pre_tanh_action.tanh()
      log_prob = dist.log_prob(action, pre_tanh_action)
      log_prob_approx = dist.log_prob(action)
      assert torch.allclose(log_prob, torch.Tensor([-0.2798519]))
      assert torch.allclose(log_prob_approx, torch.Tensor([-0.2798185]))
      del dist
  
file_path: garage/tests/garage/torch/distributions/test_tanh_normal_dist.py
imports: import torch
  from garage.torch.distributions import TanhNormal
label_desc: Use image node_id 4 for calling the TestBenchmarkTanhNormalDistribution obj's underlying member method code with example usage: obj.test_tanh_normal_log_prob() without return types